Build a Mini AI Supercomputer
Master the art of designing AI systems by weighing cost, power, and performance constraints through interactive training modules, real-world scenarios, and hands-on challenges.
Why AI System Design Matters
Learn the critical concepts that shape real-world AI infrastructure
Constraint-Driven Design
Real AI systems are built around constraints like budget, power, and scalability—not unlimited resources.
Bottleneck Identification
Discover how one weak component—GPU, RAM, or network—can limit your entire system's performance.
Engineering Tradeoffs
Practice making strategic decisions—what to prioritize, what to sacrifice, and how to justify your choices.
What You'll Do
Work through each step to design, test, and defend your AI system
Pick a real-world AI use case with unique constraints and challenges.
Select hardware components while balancing budget and power constraints in real time.
Test your system, identify bottlenecks, and revise until it meets requirements.
Adapt when conditions change—budget cuts, demand spikes, or hardware shortages.
Explain your tradeoffs and connect technical decisions to real-world impact.
Ready to Design Your AI System?
Step into the role of an AI infrastructure engineer and build a system that balances cost, power, and performance.